Connect Trackingtime and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Trackingtime
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of Trackingtime and Nyckel
Enable Integrations or automations with these events of Trackingtime and Nyckel
Actions
Add Customer
Adds a new customer.
Update Project
Updates an existing project.
Add Time Entry
Adds a new time entry.
Add Service
Adds a new service.
Add Task
Adds a new task.
Update Task
Update tasks for Tracking Time.
Know More About Trackingtime and Nyckel Integrations
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Frequently Asked Questions
To start, connect both your Trackingtime and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Trackingtime triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Trackingtime data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Trackingtime and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Trackingtime and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Trackingtime
Trackingtime is a comprehensive time tracking and productivity tool designed to help businesses and individuals manage their time efficiently. It offers features such as task management, project tracking, and detailed reporting to ensure optimal productivity and time management.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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